Integrating artificial intelligence in nanomembrane systems for advanced water desalination
The increasing global demand for clean drinking water calls for innovative approaches to optimize desalination processes, making them more sustainable and efficient. The integration of nanotechnology with artificial intelligence (AI)—particularly through machine learning and neural networks—is drivi...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024015755 |
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| author | Anbarasu Krishnan Thanigaivel Sundaram Beemkumar Nagappan Yuvarajan Devarajan Bhumika |
| author_facet | Anbarasu Krishnan Thanigaivel Sundaram Beemkumar Nagappan Yuvarajan Devarajan Bhumika |
| author_sort | Anbarasu Krishnan |
| collection | DOAJ |
| description | The increasing global demand for clean drinking water calls for innovative approaches to optimize desalination processes, making them more sustainable and efficient. The integration of nanotechnology with artificial intelligence (AI)—particularly through machine learning and neural networks—is driving the development of advanced nanomembranes with enhanced performance and reliability. AI algorithms embedded in these nanomembrane systems enable real-time monitoring, adaptive responses to changing conditions, and proactive maintenance strategies. For instance, AI can optimize energy consumption, mitigate membrane fouling, and extend membrane lifespan. As these AI-enhanced systems operate, they continuously learn and improve their efficiency under diverse conditions. This technology also supports decentralized water solutions by enabling remote management, reducing the need for on-site personnel, and expanding access to clean water in remote areas. AI-driven systems can analyze real-time data and make informed decisions, ensuring consistent and sustainable operation. However, challenges remain, such as the development of desalination-specific AI algorithms, ensuring scalability and compatibility, and addressing data privacy and security concerns. While the convergence of AI and nanomembrane technology holds immense potential for revolutionizing water desalination, ongoing research and design efforts are essential to fully realize its capabilities in the coming years. |
| format | Article |
| id | doaj-art-6e973d2a961b46c7bb9e032caed49f3c |
| institution | OA Journals |
| issn | 2590-1230 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-6e973d2a961b46c7bb9e032caed49f3c2025-08-20T02:34:36ZengElsevierResults in Engineering2590-12302024-12-012410332110.1016/j.rineng.2024.103321Integrating artificial intelligence in nanomembrane systems for advanced water desalinationAnbarasu Krishnan0Thanigaivel Sundaram1Beemkumar Nagappan2Yuvarajan Devarajan3 Bhumika4Department of Bioinformatics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Thandalam, Chennai, Tamil Nadu, 602 105, IndiaDepartment of Biotechnology, Faculty of Science & Humanities, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, IndiaDepartment of Mechanical Engineering, Jain Deemed to be university, Bengaluru, IndiaDepartment of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Thandalam, Chennai, Tamil Nadu, 602 105, India; Corresponding author.Centre for Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, IndiaThe increasing global demand for clean drinking water calls for innovative approaches to optimize desalination processes, making them more sustainable and efficient. The integration of nanotechnology with artificial intelligence (AI)—particularly through machine learning and neural networks—is driving the development of advanced nanomembranes with enhanced performance and reliability. AI algorithms embedded in these nanomembrane systems enable real-time monitoring, adaptive responses to changing conditions, and proactive maintenance strategies. For instance, AI can optimize energy consumption, mitigate membrane fouling, and extend membrane lifespan. As these AI-enhanced systems operate, they continuously learn and improve their efficiency under diverse conditions. This technology also supports decentralized water solutions by enabling remote management, reducing the need for on-site personnel, and expanding access to clean water in remote areas. AI-driven systems can analyze real-time data and make informed decisions, ensuring consistent and sustainable operation. However, challenges remain, such as the development of desalination-specific AI algorithms, ensuring scalability and compatibility, and addressing data privacy and security concerns. While the convergence of AI and nanomembrane technology holds immense potential for revolutionizing water desalination, ongoing research and design efforts are essential to fully realize its capabilities in the coming years.http://www.sciencedirect.com/science/article/pii/S2590123024015755Artificial intelligenceSustainable practicesRenewableEnergy |
| spellingShingle | Anbarasu Krishnan Thanigaivel Sundaram Beemkumar Nagappan Yuvarajan Devarajan Bhumika Integrating artificial intelligence in nanomembrane systems for advanced water desalination Results in Engineering Artificial intelligence Sustainable practices Renewable Energy |
| title | Integrating artificial intelligence in nanomembrane systems for advanced water desalination |
| title_full | Integrating artificial intelligence in nanomembrane systems for advanced water desalination |
| title_fullStr | Integrating artificial intelligence in nanomembrane systems for advanced water desalination |
| title_full_unstemmed | Integrating artificial intelligence in nanomembrane systems for advanced water desalination |
| title_short | Integrating artificial intelligence in nanomembrane systems for advanced water desalination |
| title_sort | integrating artificial intelligence in nanomembrane systems for advanced water desalination |
| topic | Artificial intelligence Sustainable practices Renewable Energy |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024015755 |
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